B71 vs B36 II: result 3-1 and analysis
1. DeildRegular Season - 23Kick-off on September 1, 2013 at 02:00 PM (UTC)inni í Dal, Sandur, Sandoy
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What was the result of B71 vs B36 II?
B71 won 3-1 on September 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B71 have 3 wins, 1 draw and 11 defeats; B36 II have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2013 | Víkingur II(away) | 0-2 | 1. Deild |
| Aug 17, 2013 | EB / Streymur II(home) | 0-2 | 1. Deild |
| Aug 6, 2013 | KÍ II(away) | 1-6 | 1. Deild |
| Aug 3, 2013 | B68(home) | 1-6 | 1. Deild |
| Jun 29, 2013 | HB II(away) | 0-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2013 | KÍ II(home) | 3-2 | 1. Deild |
| Aug 21, 2013 | HB II(away) | 3-2 | 1. Deild |
| Aug 10, 2013 | B68(home) | 0-1 | 1. Deild |
| Aug 6, 2013 | Skála(away) | 1-7 | 1. Deild |
| Aug 3, 2013 | TB II(home) | 2-3 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 1 B71 win, 0 draws, 1 B36 II win.
| Date | Score | Competition |
|---|---|---|
| Jun 8, 2013 | B36 II 6-0 B71 | 1. Deild |
| Apr 6, 2013 | B71 3-2 B36 II | 1. Deild |
How many goals should we expect?
B71 score 0.6 and concede 2.9 goals per match over their last 15; B36 II score 2.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B71 | 0.6 | 2.9 | 2 | 5/15 | 9/15 |
| B36 II | 2.5 | 1.9 | 2 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
B71 sit 1st in 1. Deild (60 points from 25 matches) and B36 II sit 6th (32 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | B71 | 25 | 19 | 3 | 3 | 78 | 27 | 60 |
| 6 | B36 II | 25 | 10 | 2 | 13 | 53 | 63 | 32 |
A question about B71 vs B36 II?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy